The teacher network incorporates motion from optical flow, where a two-stream wide ResNet for motion and appearance is used. Each stream contains 11 residual blocks for memory efficiency reasons. The output feature maps are combined by multiplying the output activation maps from both motion and appearance streams. After combining features another 5 residual blocks are used with dilated convolution. The input to the motion stream is the optical flow computed using [1]}, and converted into RGB representation using the Sintel color wheel representation [2]}.
